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BuildBetter provides powerful filtering and analysis capabilities to help you find exactly what you’re looking for in your sea of customer feedback. From simple keyword searches to advanced AI-powered clustering, you have the tools to uncover meaningful patterns.

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Quick Filtering

Access common filters from the main signals page:

Interaction Type

Internal: Team discussions and meetingsExternal: Customer conversations and feedback

Extraction Method

Automatic: AI-extracted insightsManual: User-created signals

Time Period

Presets: Today, 7 days, 30 days, 90 daysCustom: Select any date range

Signal Types

Multi-select from available types like feature requests, bugs, complaints, praise

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Advanced Filtering

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Filter Panel Options

The left sidebar provides comprehensive filtering capabilities:
Topics
  • Search and select from extracted topics
  • Auto-complete suggestions as you type
  • See count of signals for each topic
Keywords
  • Filter by specific terms mentioned
  • Combine multiple keywords
  • Include or exclude options
Tags
  • Custom labels applied by your team
  • Hierarchical tag organization
  • Quick toggle for common tags

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Smart Filters (AI-Powered)

Use natural language to describe what you’re looking for:
1

Open Smart Filter

Click the “Smart Filter” button or press / to activate
2

Describe Your Query

Type naturally: “Show me negative feedback about onboarding from enterprise customers in the last month”
3

Review Generated Filters

AI converts your description into structured filters you can further adjust
4

Save for Reuse

Save complex filter combinations as named filters for quick access
Smart Filters understand context like “recent” (last 7 days), “critical” (high severity), and “upset customers” (negative sentiment).

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Visual Analysis Tools

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Time-Series Analysis

Track signal trends over time:
  • View signal volume by day, week, or month
  • Compare multiple signal types
  • Identify trending issues or improvements
  • Overlay with product releases or events
Break down signals by:
  • Type distribution
  • Sentiment analysis
  • Severity levels
  • Company or persona
  • Custom properties
  • Sentiment vs. Severity matrix
  • Topic frequency by time period
  • Company engagement patterns
  • Feature request clustering

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AI-Powered Clustering

BuildBetter’s clustering feature automatically groups related signals: How Clustering Works
  1. AI analyzes signal content and context
  2. Groups similar feedback into themes
  3. Identifies unique patterns within groups
  4. Provides cluster summaries and insights
Cluster Visualization
  • Pie Charts: See distribution of themes
  • Drill-Down: Click clusters to explore sub-themes
  • Breadcrumbs: Navigate cluster hierarchy
  • Size Indicators: Understand theme prevalence
Clustering works best with 50+ signals. The AI needs sufficient data to identify meaningful patterns.

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Sentiment-Severity Matrix

The quadrant view helps prioritize actions: 
High Severity + Negative Sentiment = Critical Issues (Top Priority)
High Severity + Positive Sentiment = Major Wins to Amplify
Low Severity + Negative Sentiment = Minor Annoyances
Low Severity + Positive Sentiment = Nice-to-Have Validations

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Creating Saved Views

Save complex filter combinations for quick access:
1

Apply Filters

Set up your desired filter combination
2

Save View

Click “Save Current View” and provide a name
3

Set Permissions

Choose personal or team-wide access
4

Quick Access

Access saved views from the dropdown menu

Weekly Review

Last 7 days, all types, sorted by severity

Critical Issues

High severity + negative sentiment

Feature Requests

Type: Feature Request, sorted by frequency

Happy Customers

Positive sentiment + praise type

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Analyzing Patterns

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Frequency Analysis

  • Recurring Themes: Identify topics mentioned repeatedly
  • Trending Issues: Spot increasing mention frequency
  • Seasonal Patterns: Understand cyclical feedback
  • Anomaly Detection: Flag unusual spikes or drops

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Impact Assessment

  • Revenue Impact: Filter by high-value accounts
  • User Segment Analysis: Compare feedback across segments
  • Feature Adoption: Track feedback on new releases
  • Churn Indicators: Identify at-risk patterns

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Comparative Analysis

  • Period Comparison: This month vs. last month
  • Segment Comparison: Enterprise vs. SMB feedback
  • Sentiment Shifts: Track improving or declining satisfaction
  • Competition Mentions: Monitor competitive feedback

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Exporting and Sharing

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Export Options

  • Export filtered signals with all properties
  • Include source links and citations
  • Custom column selection
  • Bulk data for external analysis

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Best Practices for Analysis

Start broad, then narrow: Begin with time-based filters, then add properties to focus.
Combine filters thoughtfully: Sentiment + Severity + Company = Actionable insights.
Save useful views: Don’t recreate complex filters—save them for the team.
Regular review cadence: Set weekly or monthly analysis sessions using saved views.
Act on patterns, not outliers: Focus on recurring themes rather than one-off mentions.

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Analysis Workflows

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For Product Managers

  1. Filter by feature area topics
  2. Sort by severity and frequency
  3. Group by company tier
  4. Export for roadmap planning

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For Customer Success

  1. Filter by negative sentiment
  2. Add company revenue data
  3. Sort by churn risk
  4. Create action plans

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For Leadership

  1. Use time-series for trends
  2. Apply clustering for themes
  3. Filter by business impact
  4. Generate executive reports
Remember that AI-extracted signals may need verification. Always review source material for critical decisions.
The filtering and analysis tools in BuildBetter transform raw feedback into actionable intelligence, helping you make data-driven decisions that truly reflect your customers’ needs.